


from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml

class     A__   (       yaml.SafeLoader      ):







    """simple docstring"""

    def 						a_     (			self     ,   __snake_case       ):
         snake_case											=							[self.constructed_objects[key_node] for key_node, _ in node.value]
         snake_case											=							[tuple(__snake_case       ) if isinstance(__snake_case     ,   __snake_case       ) else key for key in keys]
         snake_case											=							Counter(__snake_case       )
         snake_case											=							[key for key in counter if counter[key] > 1]
         if duplicate_keys:
              raise TypeError(F'''Got duplicate yaml keys: {duplicate_keys}'''       )




    def 						a_     (			self     ,   __snake_case     ,   __snake_case=False       ):
         snake_case											=							super().construct_mapping(__snake_case     ,   deep=__snake_case       )
         self._check_no_duplicates_on_constructed_node(__snake_case       )
         return mapping






def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							list(readme_content.splitlines()							)
     if full_content and full_content[0] == "---" and "---" in full_content[1:]:
          snake_case											=							full_content[1:].index('''---'''							) + 1
          snake_case											=							'''\n'''.join(full_content[1:sep_idx]							)
          return yamlblock, "\n".join(full_content[sep_idx + 1 :]							)

     return None, "\n".join(UpperCamelCase_							)

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						{'train_eval_index'}  # train-eval-index in the YAML metadata
    @classmethod
    def 						a_     (			cls     ,   __snake_case       ):
         with open(__snake_case     ,   encoding='''utf-8'''       ) as readme_file:
              snake_case					,    snake_case											=							_split_yaml_from_readme(readme_file.read()       )
         if yaml_string is not None:
              return cls.from_yaml_string(__snake_case       )
         else:
              return cls()
    def 						a_     (			self     ,   __snake_case       ):
         if path.exists():
              with open(__snake_case     ,   encoding='''utf-8'''       ) as readme_file:
                   snake_case											=							readme_file.read()
         else:
              snake_case											=							None
         snake_case											=							self._to_readme(__snake_case       )
         with open(__snake_case     ,   '''w'''     ,   encoding='''utf-8'''       ) as readme_file:
              readme_file.write(__snake_case       )
    def 						a_     (			self     ,   __snake_case = None       ):
         if readme_content is not None:
              snake_case					,    snake_case											=							_split_yaml_from_readme(__snake_case       )
              snake_case											=							'''---\n''' + self.to_yaml_string() + '''---\n''' + content
         else:
              snake_case											=							'''---\n''' + self.to_yaml_string() + '''---\n'''
         return full_content
    @classmethod
    def 						a_     (			cls     ,   __snake_case       ):
         snake_case											=							yaml.load(__snake_case     ,   Loader=_NoDuplicateSafeLoader       ) or {}

         # Convert the YAML keys to DatasetMetadata fields
         snake_case											=							{
             (key.replace('''-'''     ,   '''_'''       ) if key.replace('''-'''     ,   '''_'''       ) in cls._FIELDS_WITH_DASHES else key): value
             for key, value in metadata_dict.items()
         }
         return cls(**__snake_case       )




    def 						a_     (			self       ):
         return yaml.safe_dump(
             {
                 (key.replace('''_'''     ,   '''-'''       ) if key in self._FIELDS_WITH_DASHES else key): value
                 for key, value in self.items()
             }     ,   sort_keys=__snake_case     ,   allow_unicode=__snake_case     ,   encoding='''utf-8'''     ,   ).decode('''utf-8'''       )






_SCREAMING_SNAKE_CASE     :					int      =       {
    "image-classification": [],
    "translation": [],
    "image-segmentation": [],
    "fill-mask": [],
    "automatic-speech-recognition": [],
    "token-classification": [],
    "sentence-similarity": [],
    "audio-classification": [],
    "question-answering": [],
    "summarization": [],
    "zero-shot-classification": [],
    "table-to-text": [],
    "feature-extraction": [],
    "other": [],
    "multiple-choice": [],
    "text-classification": [],
    "text-to-image": [],
    "text2text-generation": [],
    "zero-shot-image-classification": [],
    "tabular-classification": [],
    "tabular-regression": [],
    "image-to-image": [],
    "tabular-to-text": [],
    "unconditional-image-generation": [],
    "text-retrieval": [],
    "text-to-speech": [],
    "object-detection": [],
    "audio-to-audio": [],
    "text-generation": [],
    "conversational": [],
    "table-question-answering": [],
    "visual-question-answering": [],
    "image-to-text": [],
    "reinforcement-learning": [],
    "voice-activity-detection": [],
    "time-series-forecasting": [],
    "document-question-answering": [],
}


if __name__ == "__main__":
 from argparse import ArgumentParser

 _SCREAMING_SNAKE_CASE     :					Tuple      =       ArgumentParser(usage="Validate the yaml metadata block of a README.md file.")
 ap.add_argument("readme_filepath")
 _SCREAMING_SNAKE_CASE     :					Union[str, Any]      =       ap.parse_args()

 _SCREAMING_SNAKE_CASE     :					List[Any]      =       Path(args.readme_filepath)
 _SCREAMING_SNAKE_CASE     :					str      =       DatasetMetadata.from_readme(readme_filepath)
 print(dataset_metadata)
 dataset_metadata.to_readme(readme_filepath)








from math import factorial

class     A__   :







    """simple docstring"""

    def __init__(			self     ,   __snake_case     ,   __snake_case       ):
         snake_case											=							real
         if isinstance(__snake_case     ,   __snake_case       ):
              snake_case											=							[1] * rank
         else:
              snake_case											=							rank
    def __repr__(			self       ):
         return (
             F'''{self.real}+'''
             F'''{"+".join(str(__snake_case       )+"E"+str(n+1       )for n,dual in enumerate(self.duals       )       )}'''
         )
    def 						a_     (			self       ):
         snake_case											=							self.duals.copy()
         while cur[-1] == 0:
              cur.pop(-1       )
         return Dual(self.real     ,   __snake_case       )
    def __add__(			self     ,   __snake_case       ):
         if not isinstance(__snake_case     ,   __snake_case       ):
              return Dual(self.real + other     ,   self.duals       )
         snake_case											=							self.duals.copy()
         snake_case											=							other.duals.copy()
         if len(__snake_case       ) > len(__snake_case       ):
              o_dual.extend([1] * (len(__snake_case       ) - len(__snake_case       ))       )
         elif len(__snake_case       ) < len(__snake_case       ):
              s_dual.extend([1] * (len(__snake_case       ) - len(__snake_case       ))       )
         snake_case											=							[]
         for i in range(len(__snake_case       )       ):
              new_duals.append(s_dual[i] + o_dual[i]       )
         return Dual(self.real + other.real     ,   __snake_case       )

    __magic_name__         =						__add__
    def __sub__(			self     ,   __snake_case       ):
         return self + other * -1
    def __mul__(			self     ,   __snake_case       ):
         if not isinstance(__snake_case     ,   __snake_case       ):
              snake_case											=							[]
              for i in self.duals:
                   new_duals.append(i * other       )
              return Dual(self.real * other     ,   __snake_case       )
         snake_case											=							[0] * (len(self.duals       ) + len(other.duals       ) + 1)
         for i, item in enumerate(self.duals       ):
              for j, jtem in enumerate(other.duals       ):
                   new_duals[i + j + 1] += item * jtem
         for k in range(len(self.duals       )       ):
              new_duals[k] += self.duals[k] * other.real
         for index in range(len(other.duals       )       ):
              new_duals[index] += other.duals[index] * self.real
         return Dual(self.real * other.real     ,   __snake_case       )

    __magic_name__         =						__mul__
    def __truediv__(			self     ,   __snake_case       ):
         if not isinstance(__snake_case     ,   __snake_case       ):
              snake_case											=							[]
              for i in self.duals:
                   new_duals.append(i / other       )
              return Dual(self.real / other     ,   __snake_case       )
         raise ValueError
    def __floordiv__(			self     ,   __snake_case       ):
         if not isinstance(__snake_case     ,   __snake_case       ):
              snake_case											=							[]
              for i in self.duals:
                   new_duals.append(i // other       )
              return Dual(self.real // other     ,   __snake_case       )
         raise ValueError




    def __pow__(			self     ,   __snake_case       ):
         if n < 0 or isinstance(__snake_case     ,   __snake_case       ):
              raise ValueError('''power must be a positive integer'''       )
         if n == 0:
              return 1
         if n == 1:
              return self
         snake_case											=							self
         for _ in range(n - 1       ):
              x *= self
         return x






def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_							):



     """simple docstring"""






     if not callable(UpperCamelCase_							):
          raise ValueError('''differentiate() requires a function as input for func'''							)
     if not isinstance(UpperCamelCase_				,(float, int)							):
          raise ValueError('''differentiate() requires a float as input for position'''							)
     if not isinstance(UpperCamelCase_				,UpperCamelCase_							):
          raise ValueError('''differentiate() requires an int as input for order'''							)
     snake_case											=							Dual(UpperCamelCase_				,1							)
     snake_case											=							func(UpperCamelCase_							)
     if order == 0:
          return result.real
     return result.duals[order - 1] * factorial(UpperCamelCase_							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 def      UpperCAmelCase__		(UpperCamelCase_							):



      """simple docstring"""






      return y**2 * y**4

 print(differentiate(f, 9, 2))




